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Biology subjects

Ibaibarriaga, L.

Publications and source records attributed to Ibaibarriaga, L..

3 recordsLinked to original sources

Genomic Evidence for Revising Management Units of European Anchovy: Integrating Evolutionary Lineages into Fisheries Assessment

Effective fisheries management requires stock boundaries that accurately reflect underlying biological populations. In European anchovy (Engraulis encrasicolus), defining management units has been complicated by a complex evolutionary history and the coexistence of distinct ecotypes. Despite recent advances using high-resolution genomic markers, key uncertainties persist regarding population structure and connectivity, particularly between the Bay of Biscay and Atlantic Iberian Waters stocks and their links to neighboring northern and southern regions. Here, we analyze thousands of genetic markers from individuals spanning both assessed stocks and adjacent areas, including representatives of the two recognized ecotypes (marine and coastal). Our comprehensive population genomic analyses identify three major lineages, northern marine, southern marine, and coastal, shaped by historical processes and ecological differentiation. Notably, genetic divergence between ecotypes exceeds that observed among geographically distant populations within the same ecotype, highlighting the need to incorporate ecological as well as spatial drivers when delineating stocks. Our findings demonstrate that current management units do not capture the underlying biological structure of European anchovy, which could lead to local overexploitation due to inadequate Total Allowable Catch (TAC) settings. This study emphasizes the need to incorporate genetic data when defining biologically relevant management units, with the goal of improving stock assessments, safeguarding adaptive potential, and ensuring the long-term sustainability of the species.

evolutionary biology↗

Integrating eDNA and acoustic-trawl data to provide small pelagic biomass estimates for fisheries assessment

Accurate abundance estimates of fisheries resources are essential for sustainable fisheries management. In response to the growing need for developing more accurate and cost-effective biomass estimation methods, the analysis of environmental DNA (eDNA) has recently emerged as an alternative for fish abundance quantification. However, practical approaches for integrating eDNA data into fisheries assessment remain limited. Here, we introduce a Bayesian joint model that combines acoustic-trawl and eDNA data to estimate fish biomass. Utilizing 209 water eDNA samples and 196 acoustic transects, the model was applied to estimate the distribution and abundance of the European anchovy (Engraulis encrasicolus) in the Bay of Biscay. The joint model produced estimates consistent with known spatial patterns of anchovy, with eDNA data suggesting a broader distribution and potentially higher abundance. This research demonstrates the value of incorporating eDNA data as a complement to acoustic-trawl for stock assessment and illustrates the versatility of joint Bayesian models and their potential application to various species and datasets. Ultimately, our work opens new avenues for more holistic fisheries assessment, underscoring the growing role of eDNA in that context.

genetics↗

Large scale spatio-temporal study on European hake depicts sensitivity to sea bottom temperature, sea bottom oxygen concentration and sea surface temperature.

European hake (Merluccius merluccius) is a commercially important fish species that is known to have a marked bathymetric preference. No other environmental variable has yet been identified to drive the distribution of hake. This study looked into different climatic variables at different depths and identified sea bottom temperature, sea bottom dissolved oxygen concentration and chlorophyll concentration to affect the distribution of both juvenile and adult hake distributions.

ecology↗